Excerpt from product page

 

Here I Show You in 5 easy Steps

How to Create an Automated

Twitter Money Making System

brought to you by Frank Breinling

 



Dear Friend,
in this guide, you are going to learn how to Create a TWITTER TRAFFIC EXPLOSION System and how to make a regular Income from Google AdsenseTM, ClickbankTM, AmazonTM, EbayTM, CPA Networks and other Affiliate programs. You can also use it to build a Fully Automated List Building System. All you need is about 15 to 25 minutes to create your very own TWITTER TRAFFIC EXPLOSION.

 



 

It’s an automated system – it runs automatically and you don't have to do anything to keep it running (in normal case). Set it up once and Forget about it. My guide is written in a straight-forward manner with full details and screen-shots. When you read my Tutorial, open your Firefox Browser and follow each step I’m showing in the Tutorial.

Minimum System Requirements: A website hosted in a [ Linux or Unix Webhost](http://php-community.com/).I can highly recommend [ PhP-Community](http://php-community.com/) for webhosting. You will receive high quality hosting to a very affordable price offering cpanel/WHM, the leading admin hosting panel in the  internet.

Little Experience Required:
No programming knowledge is necessary. You should have basic knowledge about Twitter, Gmail, Adsense etc. and familiar with uploading files to your own website.

You need only 4 things to create a TWITTER TRAFFIC EXPLOSION System

 


  My step by Step Guide      

  A Firefox Browser connected to the Internet      

  PhP Script that comes with your download      

  and last not least about 15-25 minutes of your time


Once you created your first TWITTER TRAFFIC EXPLOSIONS System, you can start duplicating the whole steps for different niches. This way, you can build a network of Fully Automated TWITTER TRAFFIC EXPLOSIONS. All of the systems are managed by the PHP Script that came with your download and some other Free Tools available on the Internet.

How this system works 

There are 2 Main Components in a TWITTER TRAFFIC EXPLOSIONS system:

 


  An automated updating Twitter Account      

  An automated updating Website


With an automated Twitter account, tweets will be posted automatically in regular time basis with links back to your automated website. The PHP Script has two functions. It will fetch the RSS Feed content for your automated Tweets. Then the script will create different landing pages for each RSS Feed.




 

Each Tweet (posted message in Twitter) in your Twitter account will be pointing to the landing page created through the PHP script. This little website (landing page) is a fully automated system and you can easily edit the site by modifying a single template file and tons of landing pages will be updated automatically. For example: if you find a new affiliate offer suitable for your niche, you can easily copy and paste the affiliate code into the template file and all pages will be updated accordingly.



Take Advantage Of The Huge Potential Of

the Twitter Micro-Blogging Platform Today

for $49.00 ONLY

 





   
 

but wait...

 there's even more

I will also give YOU my collection of high traffic generating ebooks for FREE
with FULL Resale Rights

INSTANT DOWNLOAD

 

[ ](http://1.breinling.pay.ClickBank.net)

if you need assistance in any kind feel free to write an email

[ contact@downloadrun.com](mailto:contact@downloadrun.com?subject=TWITTER TRAFFIC EXPLOSIONS)

 


Disclaimer:
This site and the products and services offered on this site are not associated, affiliated, endorsed, or sponsored by Twitter, Google, eBay, or Amazon, nor have they been reviewed tested or certified by Twitter, Google, eBay, or Amazon.

ClickBank is a registered trademark of Keynetics Inc., a Delaware corporation. DownloadRun.com is not affiliated with Keynetics Inc. in any way, nor does Keynetics Inc. sponsor or approve any DownloadRun.com product. Keynetics Inc. expresses no opinion as to the correctness of any of the statements made by DownloadRun.com in the materials on this Web page."

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In database since 2010-05-04 and last updated on 2016-03-09
 
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